There are several types of Convolutional Neural Networks (CNNs) being developed and all have the potential to greatly contribute to...

There are many effective ways to automatically classify entities. In this article, we cover six common classification algorithms, of which...

Backpropagation is a basic concept in modern neural network training. In real-world projects, you will not perform backpropagation yourself, as...

Many of the companies rely on image segmentation techniques powered by Convolutional Neural Networks (CNNs), which form the basis of deep...

Neural network activation functions are a crucial component of deep learning. Activation functions determine the output of a deep learning...

Neural networks are mathematical constructs that generate predictions for complex problems. The basic unit of a neural network is a...

Image recognition uses artificial intelligence technology to automatically identify objects, people, places and actions in images

Perceptron A perceptron is a binary classification algorithm modeled after the functioning of the human brain—it was intended to emulate...

What are Artificial Neural Networks and Deep Neural Networks? Artificial Neural Networks (ANN) is a supervised learning system built of...

As the field of computer vision grows, increasingly efficient tools are being built to more finely parse visual information. Deep learning...